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A distributed utility max-min flow control algorithm

机译:分布式公用事业最大-最小流量控制算法

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A fair allocation of utility (application-layer performance) is essential in providing QoS (Quality of Service) guarantee. However, there have been few researches in the literature of utility-fair network resource allocation scheme. In this paper, we propose a distributed utility max-min flow control algorithm which accommodates application diversity in that it does not require the concavity of utility functions, and is scalable in that it does not require any per-flow operation in the network. The algorithm is proved to be convergent under the assumption that there exists a single bottleneck link and the communication delay between any two links in the network is bounded. Although the convergence of the algorithm is analyzed only for the case of a single bottleneck link, we show through simulations that the proposed algorithm works as designed for the case of multiple bottleneck links as well.
机译:公平分配实用程序(应用程序层性能)对于提供QoS(服务质量)保证至关重要。但是,关于实用公平网络资源分配方案的文献很少。在本文中,我们提出了一种分布式效用最大-最小流量控制算法,该算法可适应应用程序的多样性,因为它不需要效用函数的凹形,并且具有可扩展性,因为它不需要网络中的任何按流操作。在存在单个瓶颈链路且网络中任意两个链路之间的通信延迟受到限制的前提下,证明该算法是收敛的。尽管仅针对单个瓶颈链接的情况分析了算法的收敛性,但我们通过仿真表明,所提出的算法也适用于多个瓶颈链接的情况。

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